<HashMap><database>biostudies-literature</database><scores/><additional><omics_type>Unknown</omics_type><volume>26(1)</volume><submitter>Li X</submitter><journal>BMC cancer</journal><pagination>66</pagination><full_dataset_link>https://www.ebi.ac.uk/biostudies/studies/S-EPMC12797709</full_dataset_link><repository>biostudies-literature</repository><pubmed_title>Automated machine learning-based unenhanced radiomics for identification of HER2-low breast cancers using diffusion-weighted imaging.</pubmed_title><pmcid>PMC12797709</pmcid><pubmed_authors>Li X</pubmed_authors><pubmed_authors>Jiang L</pubmed_authors><pubmed_authors>Li C</pubmed_authors><pubmed_authors>Chen M</pubmed_authors><pubmed_authors>Tian S</pubmed_authors><pubmed_authors>Zheng D</pubmed_authors></additional><is_claimable>false</is_claimable><name>Automated machine learning-based unenhanced radiomics for identification of HER2-low breast cancers using diffusion-weighted imaging.</name><description/><dates><release>2025-01-01T00:00:00Z</release><publication>2025 Dec</publication><modification>2026-06-06T15:21:47.155Z</modification><creation>2026-06-01T03:10:52.438Z</creation></dates><accession>S-EPMC12797709</accession><cross_references><pubmed>41350639</pubmed><doi>10.1186/s12885-025-14198-6</doi></cross_references></HashMap>